clear all; close all;
%cfw_
Example:
The data shown in the Table below displays, in millions of dollars,
the Sales, Profits, and Assets of some wellknown companies:
=
Company
Sales
Profits Assets
=
GeneralMotors
126974
4224
173297
Ford
96933
3835
160893
Solution Sheet: Assignment 2
(INSE 6210 Fall 20122013)
Practice Exercise of Lecture 6 slide (page 32)
Hospital MaryLand is receiving several complaints from customers on long telephone calls, late
ambulances, long waiting times for beds, long treatment
INSE6210 (Fall 2007) Solution to Assignment #1
Instructor: Dr. Nizar Bouguila
Part1: 20 points
After reading chapter 1 of the text book, answer the following questions
(3 points) Briefly summarize the history of quality. What caused the most
significant c
Exercise 1
Historical data indicates that the diameter of a
ball bearing is normally distributed with a
mean of 0.525 cm and a standard deviation of
0.008 cm. Suppose that a sample of 16 ball
bearings are randomly selected from a very large
lot. Determine
Name: Nizar Bouguila
ID:Department:CIISE
Concordia University
Concordia Institute for Information Systems Engineering
INSE6210: Total Quality Methodologies in Engineering
Midterm Exam II (Solution)
Winter 2007
Instructor: Dr. Nizar Bouguila
Date: Monday
Six samples of size 10 were collected. The data are provided in
the following table. Determine the upper control limit (UCL)
and lower control limit (LCL) for an sschart
chart.
Sample number
1
2
3
4
5
6
Sample mean
4.80 4.62 4.81 4.55 4.92 4.65
Sample st
EXERCISES
1. A blueprint specification for the thickness of a dishwasher part at Partspalace, Inc. is
0.325 0.025 centimeters (cm). It costs $10 to scrap a part that is outside the
specifications. Determine the Taguchi loss function for this situation.
An
ECONOMIC CASE FOR QUALITY
Six Sigma and the
Bottom Line
by Sren Bisgaard and Johannes Freiesleben
T
he ultimate quality award is improved bottomline profitability. Satisfied customers
come back for more and encourage business
associates, family and frien
Concordia Institute for Information Systems Engineering
Fall 2016
INSE6210 Total Quality Methodologies in Engineering (4 credits)
1. General Information
INSE 6210: Total Quality Methodologies in Engineering (4 credits)
Wednesday: 17:45 20:15, H620
Instru
Guidelines for the Term Project: INSE 6210 (Fall 2016)
Instructor:
Dr. Nizar Bouguila
Purpose:
The purpose of this project is to acquire indepth and integrated knowledge in quality
improvement methodologies through working on real quality problems with o
Gauge Repeatability and Reproducibility
This spreadsheet is designed for up to three operators, three trials, and ten samples. Enter data ONLY in yellow shaded cells.
Number of operators
Number of trials
Number of samples
3
2
10
Data
Sample #
1
2
3
4
5
6
Gauge Repeatability and Reproducibility
This spreadsheet is designed for up to three operators, three trials, and ten samples. Enter data ONLY in yellow shaded cells.
Number of operators
Number of trials
Number of samples
Upper specification limit
Lower s
INSE 6210
TOTAL QUALITY METHODOLOGIES FOR ENGINEERS
REDUCTION OF UNNECESSARY CALLS
IN A BUSINESS TRAVEL CENTER
DEFINE
Process Map
FOCUS
AREA
Customer calls to
BTC to ask for a
service
Customer may call for
any reason which
could be:
information,
reservati
Power
Scrapper
(Heat, Clear & Go)
EBSSA Power Scraper
Agenda
Business Case
Define
Project Charter
Project Schedule
CTQ
VOC (customer Survey)
Measure
Customer Requirements
Bench Marking
Development of Engineering Specification
Analyze
FMEA
Cause a
This article was downloaded by: [Canadian Research Knowledge Network]
On: 9 January 2009
Access details: Access Details: [subscription number 783016891]
Publisher Taylor & Francis
Informa Ltd Registered in England and Wales Registered Number: 1072954 Regi
INSE 6210
Improving the University
graduation system
Introduction
Pareto Chart of the Faculty in Concordia University
16000
1.2
14228
14000
0.979987715
1
1
0.894992079
0.80498529
0.8
10000
0.634994019
8000
6000
0.6
0.459991594 5413
5258
0.4
Cumulative Per
Your opinion: What does it take to be a Master Black Belt?
Gregory H Watson; Frederick W Faltin; Tom Pearson; Mary G Leitnaker
ASQ Six Sigma Forum Magazine; May 2003; 2, 3; ABI/INFORM Global
pg. 34
Reproduced with permission of the copyright owner. Furthe
INSE6210Winter2007 (Week5)
Total Quality Methodologies in Engineering
Process Analysis
Dr. Nizar Bouguila
Concordia University
1
Topics to be covered today
Analysis
Basic probability theory
Normal distribution
Regression
Confidence interval
Hypothesis tes
Lecture 3
Define
Select the problem
Define the improvement opportunity
Build commitment among stakeholders
Understand Process and Customer requirement
PreDefine Step : Create an effective structure to carry out the work
Project
A temporary work structure
Confidence Interval for Population Mean, Standard Deviation Known
Alpha
Standard deviation
Sample size
Sample average
Confidence Interval
100%
Error Err:502
Lower Err:502
Upper Err:502
Confidence Interval for Population Mean, Standard Deviation Unknown
Al
PQ220 6234F. pp [ 1
26].qxd 5/8/02 8:31 PM Page 654 RK UL 6 RK UL 6:Desktop Folder:TEMP WORK:PQ220 MONT 8/5/2002: PPENDIX :
1z2 P1Z z2
z
1
22
e
12 u
2
du
(z)
z
0
Table II Cumulative Standard Normal Distribution (continued)
z
0.00
0.01
0.02
0.03
0.04
0
INSE 6230 Assignment 1: Solution
1. Based on the information in the table, provide answers to the following questions:
Activity
Predecessors
Duration (Months)
A

2
B

3
C
A
4
D
A, B
2
E
D
2
F
B, C, E
3
A. Draw an AOA network diagram for this project.
C
INSE 6230 Assignment 1
1. Based on the information in the table, provide answers to the following questions:
Activity
Predecessors
Duration (Months)
A

2
B

3
C
A
4
D
A, B
2
E
D
2
F
B, C, E
3
A. Draw an AOA network diagram for this project.
B. Find the
INSE 6230 Assignment 2 (Solution)
1. A project in progress has the following characteristics at the present time: SPI=1.35, CPI=0.7,
BAC=$6,400,000, and EAC (t=now) = $7,000,000. Calculate AC, PV, EV, ETC and VAC under
the 2 following situations:
a.The pr
INSE6210Winter 2016 (Week4)
Total Quality Methodologies in Engineering
Process Measurement
Dr. Nizar Bouguila
Concordia University
1
Summary: Last Lecture
Define
Critical to Quality (CTQ)
Pareto analysis
BreakEven Analysis
2
In this lecture, you will
Course Number:
INSE6210
Course Title:
Total Quality Methodologies in Engineering
Winter 2015
Assignment # 1
On the 30th of January 2015
Submitted to:
Professor Dr. Anjali Awasthi
Student Name
Ali AlDulaimi
Albert Shamieh
Student I.D.
7733097
7432259
Stu
Assignment 1
INSE 6210: Total Quality Methodologies in Engineering
20122013 (Winter Semester)
Textbook:
An introduction to six sigma and process improvement by James R. Evans and William M
Lindsay
Questions:
Chapter 1: Things to do (Q5), Practice exercis
Improvement can include better design of goods and services, reduction of errors, faster custom
response, better employees skills.
Defining Quality: Quality dimensions:
Performance The primary function of the product or service
Reliability The probability
INSE6210Fall2015 (Lecture 6)
Total Quality Methodologies in Engineering
Process Control
Dr. Nizar Bouguila
Concordia University
1
Control Systems
Control is the last step of DMAIC
Ensuring that project improvements (another
lecture) will be sustained by